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Text Trim, Dedup, Match & Sort Pipeline
x402
Text Trim, Dedup, Match & Sort Pipeline is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Processes an array of records through four sequential steps: trim text fields, remove duplicate rows, match text in a column, and sort numbers descending.
Price / call$0.01
Success—
StatusUnknown
How this service works
Trim text fields → Remove duplicate rows → Match text in a column → Sort numbers descending: Process customer-supplied records: Trim text fields → Remove duplicate rows → Match text in a column → Sort numbers descending. Returns the processed output and row counts per step. No external data lookup. 0.01 USDC includes up to 300 flat records.
Output
Returns the processed output records after all four pipeline steps (trim, dedup, match, sort descending), along with row counts at each step showing how many records remained after each transformation.
Example use cases
Clean and filter product catalog entries
“I've got up to 300 product catalog rows with a 'name' field and a 'price' field. Please trim the name fields, remove any duplicate rows, keep only rows where name matches 'Widget Pro', and sort the results by price descending.”
Deduplicate and rank survey responses
“Here are my survey response records with a 'response' field and a 'score' field. Trim all the response text, drop duplicates, filter to only rows where response matches 'satisfied', and sort by score from highest to lowest.”
Filter and sort sales lead records
“I have a batch of sales lead records with a 'company' text field and a 'revenue' number field. Run them through trimming and dedup first, then keep only leads where company matches 'Acme', and give me the results sorted by revenue descending.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-cap-f9fc4f903694de7b729f?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a chained, multi-step data cleaning pipeline (trim → dedup → text match → numeric sort) on up to 300 flat records in a single call, without needing any external data lookup. Ideal for lightweight ETL preprocessing tasks where records are already in hand and you want row counts at each transformation step.
Side effects
- Empty records array (minItems:1 violated) returns validation error
- Records array exceeds 300 items (maxItems exceeded) returns error
- Field name doesn't match pattern ^[a-zA-Z][a-zA-Z0-9_]{0,39}$ returns validation error
- Query string empty or exceeds 100 characters returns validation error
- No rows match the query text — returns empty result set with zero matching rows
- Records with missing or null target field may not match or sort correctly
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| query | string | |
| records | array |
Tags
x402
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